BIFOLD welcomes job applications from interested parties year-round.
Ideal candidates are those who seek to challenge themselves academically, are passionate about data science and computer systems engineering, and possess expertise in Big Data analytics and Machine Learning, benchmarking, data science, scalable data management, scalable processing technologies that leverage hardware-based solutions, stream processing, or visual analytics.
If not stated otherwise in the job posting, job applications should be directed to email@example.com.
In general, applications must include a cover letter (specifying target position, and including the job reference number, when available), CV, academic transcripts, and letters of recommendation. Note: Postdoctoral Researcher applicants must also provide examples of past publications.
Research Assistant (TU Berlin / Machine Learning)
- Research on probabilistic modeling and inference
- Development of deep neural networks, in particular generative models
- Variational inference
- Bayesian learning
- Multimodal data analysis
- Uncertainty estimation
- Bayesian optimization
- Application to computer vision, natural language processing, and natural science
- Software implementation of machine learning methods
- Opportunity for a doctoral degree
Employer: Technische Universität Berlin – Faculty IV – Institute of Software Engineering and Theoretical Computer Science / Maschine Learning
Salary grade: E 13 TV-L Berliner Hochschulen
Closing date: 22/06/21
Start: At the earliest possible
Reference number: IV-330/21
Full job posting: EN / DE
EIT Digital Data Science Master’s Program
The EIT Digital, European Institute of Innovation & Technology, has recently established a newData Science Master’s Program,
which is launched in 2015. As one of six European universities involved
in this initiative – KTH/Stockholm, UNS/Nice-Sophia, TUB/Berlin,
TUE/Eindhoven, UPM/Madrid, PoliMi/Mailand – TU Berlin offers a specialisation in the Design, Implementation, and Usage of Data Science Instruments, which provides training in three key areas, namely,
- scalable data management
- data analysis & machine learning
Please, learn more about:
the Data Science Master (DSC)
the EIT Digital Master School
the EIT Digital, European Institute of Innovation & Technology
Data Science and Engineering Master’s Track
School IV, Electrical Engineering and Computer Science, of Technische Universität Berlin offers a Data Science and Engineering Track
(Certification) integrated in the master’s study program of computer
science, computer engineering and business intelligence. During the
studies three columns support the specialization:
- Scalable Data Analytics
- Scalable Data Management
- An application area
Application areas are:
Medical science, materials research, energy, logistics
A wide range of english courses guarantees that students without German language knowledge can follow this track.
Description of the certified Data Science and Engineering Track (pdf)
Learn more about the Data Analytics Laboratory
BDMA Master Program
After five years IT4BI Master program, the new Erasmus+ BDMA program favours the integration of students into a network of specialists and researchers in Business Intelligence and Big Data. The Joint Master Degree Programme in Big Data Management and Analytics (BDMA) has
been jointly designed and adheres to international studies, being
structured to cover all the skills BI and BD specialists require.
The curriculum is jointly delivered by Université Libre de Bruxelles (ULB) in Belgium, Universitat Politècnica de Catalunya (UPC) in Spain, Technische Universität Berlin (TUB) in Germany, CentraleSupélec (CS) in France, and The Eindhoven University of Technology (TU/e) in the Netherlands. TUB / DIMA (local program coordinator) offers the specialization Distributed and Large-Scale Business Intelligence.
Learn more about
the BDMA program
the 3rd and 4th semester specialization @DIMA/TUB